Job Description
ABOUT BOSE
You know the moment. It’s the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying “hello.” It’s in these moments that sound matters most.
At Bose, we believe sound is the most powerful force on earth. And we’ve dedicated ourselves to improving it for nearly 60 years. Ever since our founder, Dr. Amar Bose, bought a stereo system and thought, “I can make this better,” we’ve been relentlessly pushing forward to the next best thing.
Innovation is more than what we do. It’s who we are — constantly learning and constantly curious. We never stop imagining what better sound sounds like. We’re music fanatics and audio engineers. We’re explorers and inventors and dreamers. And we’re passionate down to our bones about making whatever you’re listening to a little more magical.
THE PROGRAM
We’re looking for students to join our Internship Program who are obsessively curious about ’what’s next’. You’ll get hands on experience with our products and learn from the best of the best in the business. You will complete a specific project in 10-12 weeks with us, while integrating with our team. By the time you end your time with us, you will have been given the opportunity to truly make a real impact in the future of Bose and your career!
Opportunities don’t stop at your day-to-day work. While you’re getting a targeted look at your area of expertise, we’ll expose you to other areas of the company. Our interns are given the opportunity to connect with senior leadership across the business to understand different perspectives at Bose. You’ll network with other interns and colleagues to grow your network for the future!
Timeframe - June-August 2023
THE ROLE
The Consumer Electronics Applied Research Team at Bose is looking for a passionate DSP/Machine Learning Co-op to help us build the future of soundbars. The duration of this position is 3 months starting June 2023 (full-time 40 hours/week).
What you’ll do
- Develop out-loud product algorithms using state-of-the-art approaches with a mentor
- Assist with data collection and analysis
- Build and tune real-time prototypes to demonstrate new user experiences enabled by this work
What we’re looking for
- Undergraduate or graduate (preferred) electrical engineering or computer science majors
- Strong programming and data analysis fundamentals in MATLAB and Python (preferred)
- Relevant project/work experience in DSP, particularly noise reduction or echo cancelation
- (Desired) Coursework/experience in training and evaluating machine learning or deep learning models
- (Desired) Interest or experience prototyping and deploying real-time algorithms to embedded targets
Bose is an equal opportunity employer that is committed to inclusion and diversity. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. For additional information, please review: (1) the EEO is the Law Poster (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf); and (2) its Supplements (http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm). Please note, the company’s pay transparency is available at http://www.dol.gov/ofccp/pdf/EO13665_PrescribedNondiscriminationPostingLanguage_JRFQA508c.pdf. Bose is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the application or employment process, please send an e-mail to
and let us know the nature of your request and your contact information.
